A Review of Probabilistic Genotyping Systems: EuroForMix, DNAStatistX and STRmix™

被引：37

作者：

Gill, Peter ^{[1
,2
]}

Benschop, Corina ^{[3
]}

Buckleton, John ^{[4
,5
]}

Bleka, Oyvind ^{[1
]}

Taylor, Duncan ^{[6
,7
]}

机构：

[1] Oslo Univ Hosp, Dept Forens Sci, Forens Genet Res Grp, N-0372 Oslo, Norway

[2] Univ Oslo, Inst Clin Med, Dept Forens Med, N-0315 Oslo, Norway

[3] Netherlands Forens Inst, Div Biol Traces, POB 24044, NL-2490 AA The Hague, Netherlands

[4] Univ Auckland, Dept Stat, Private Bag 92019, Auckland 1142, New Zealand

[5] Inst Environm Sci & Res Ltd, Private Bag 92021, Auckland 1142, New Zealand

[6] Forens Sci SA, GPO Box 2790, Adelaide, SA 5001, Australia

[7] Flinders Univ S Australia, Sch Biol Sci, GPO Box 2100, Adelaide, SA 5001, Australia

来源：

GENES | 2021年 / 12卷 / 10期

关键词：

probabilistic genotyping; EuroForMix; DNAStatistX; STRmix(TM); MIXED DNA PROFILES; FORENSIC GENETICS RECOMMENDATIONS; ISFG COLLABORATIVE EXERCISE; PARALLEL SEQUENCING DATA; LIKELIHOOD RATIOS; INTERNATIONAL SOCIETY; MIXTURE PROFILES; EXPERT SOFTWARE; SINGLE-SOURCE; CONTRIBUTORS;

D O I：

10.3390/genes12101559

中图分类号：

Q3 [遗传学];

学科分类号：

071007 ; 090102 ;

摘要：

Probabilistic genotyping has become widespread. EuroForMix and DNAStatistX are both based upon maximum likelihood estimation using a gamma model, whereas STRmix (TM) is a Bayesian approach that specifies prior distributions on the unknown model parameters. A general overview is provided of the historical development of probabilistic genotyping. Some general principles of interpretation are described, including: the application to investigative vs. evaluative reporting; detection of contamination events; inter and intra laboratory studies; numbers of contributors; proposition setting and validation of software and its performance. This is followed by details of the evolution, utility, practice and adoption of the software discussed.</p>

引用

页数：40

共 222 条

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